DataSet Record GDS5000: Expression Profiles Data Analysis Tools Sample Subsets
Title: Mechanistic Indicators of Asthma (MICA) cohort: peripheral blood
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Summary: Analysis of peripheral blood from asthmatic and non-asthmatic children (ages 9 to 13), participants of the MICA study conducted by the EPA from 11/2006 to 01/2007 in Detroit, MI. These results, together with clinical biomarker measurements, may help to differentiate asthmatics from non-asthmatics.
Organism: Homo sapiens
Platform: GPL570: [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Citations:
  • Williams-DeVane CR, Reif DM, Hubal EC, Bushel PR et al. Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes. BMC Syst Biol 2013 Nov 4;7:119. PMID: 24188919
  • George BJ, Reif DM, Gallagher JE, Williams-DeVane CR et al. Data-driven asthma endotypes defined from blood biomarker and gene expression data. PLoS One 2015;10(2):e0117445. PMID: 25643280
Reference Series: GSE35571 Sample count: 131
Value type: transformed count Series published: 2013/11/12